Kejiang Chen

发表

Steganographic Security Analysis From Side Channel Steganalysis and Its Complementary Attacks

Kejiang Chen, Nenghai Yu, Weiming Zhang, 2020, IEEE Transactions on Multimedia.

Feature-Preserving Tensor Voting Model for Mesh Steganalysis

Kejiang Chen, Nenghai Yu, Weiming Zhang, 2021, IEEE Transactions on Visualization and Computer Graphics.

Side Channel Steganalysis: When Behavior is Considered in Steganographer Detection

Kejiang Chen, Weiming Zhang, Nenghai Yu, 2018, Multimedia Tools and Applications.

JPEG Steganography With Estimated Side-Information

Kejiang Chen, Nenghai Yu, Weiming Zhang, 2020, IEEE Transactions on Circuits and Systems for Video Technology.

Robust adaptive steganography based on generalized dither modulation and expanded embedding domain

Kejiang Chen, Nenghai Yu, Weiming Zhang, 2020, Signal Process..

LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks

Kejiang Chen, Gang Hua, Xiaoyi Dong, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Derivative-Based Steganographic Distortion and its Non-additive Extensions for Audio

Kejiang Chen, Nenghai Yu, Weiming Zhang, 2020, IEEE Transactions on Circuits and Systems for Video Technology.

Improving the Embedding Strategy for Batch Adaptive Steganography

Kejiang Chen, Nenghai Yu, Weiming Zhang, 2018, IWDW.

Defining cost functions for adaptive steganography at the microscale

Hang Zhou, Kejiang Chen, Weiming Zhang, 2016, 2016 IEEE International Workshop on Information Forensics and Security (WIFS).

Defining Joint Distortion for JPEG Steganography

Kejiang Chen, Weiming Zhang, Nenghai Yu, 2018, IH&MMSec.

Self-Supervised Adversarial Training

Kejiang Chen, Yuan He, Nenghai Yu, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

When Provably Secure Steganography Meets Generative Models

Kejiang Chen, Nenghai Yu, Hang Zhou, 2018 .

DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense

Kejiang Chen, Nenghai Yu, Han Fang, 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Controversial 'pixel' prior rule for JPEG adaptive steganography

Hang Zhou, Kejiang Chen, Weiming Zhang, 2019, IET Image Process..

Distribution-Preserving Steganography Based on Text-to-Speech Generative Models

Kejiang Chen, Weiming Zhang, Nenghai Yu, 2018 .

Targeted attack and security enhancement on texture synthesis based steganography

Hang Zhou, Kejiang Chen, Weiming Zhang, 2018, J. Vis. Commun. Image Represent..

Adversarial Examples Against Deep Neural Network based Steganalysis

Kejiang Chen, Weiming Zhang, Nenghai Yu, 2018, IH&MMSec.

Defining Cost Functions for Adaptive JPEG Steganography at the Microscale

Hang Zhou, Kejiang Chen, Weiming Zhang, 2019, IEEE Transactions on Information Forensics and Security.

Provably Secure Generative Steganography Based on Autoregressive Model

Kejiang Chen, Nenghai Yu, Weiming Zhang, 2018, IWDW.

Distortion Design for Secure Adaptive 3-D Mesh Steganography

Kejiang Chen, Nenghai Yu, Weiming Zhang, 2019, IEEE Transactions on Multimedia.

Reversible Data Hiding in Color Image With Grayscale Invariance

Kejiang Chen, Weiming Zhang, Nenghai Yu, 2019, IEEE Transactions on Circuits and Systems for Video Technology.

Deflecting 3D Adversarial Point Clouds Through Outlier-Guided Removal pdf

Hang Zhou, Kejiang Chen, Nenghai Yu, 2018, ArXiv.

Provably Secure Steganography on Generative Media pdf

Hang Zhou, Kejiang Chen, Nenghai Yu, 2018, ArXiv.

Adversarial batch image steganography against CNN-based pooled steganalysis

Kejiang Chen, Nenghai Yu, Li Li, 2021, Signal Process..

A Brief Survey on Deep Learning Based Data Hiding, Steganography and Watermarking pdf

Kejiang Chen, In So Kweon, Chaoning Zhang, 2021, ArXiv.

Adversarial Examples Detection Beyond Image Space

Kejiang Chen, Nenghai Yu, Chuan Qin, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).